library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.5 ✓ purrr 0.3.4
## ✓ tibble 3.1.6 ✓ dplyr 1.0.7
## ✓ tidyr 1.1.4 ✓ stringr 1.4.0
## ✓ readr 2.1.0 ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(readxl)
library(rvest)
##
## Attaching package: 'rvest'
## The following object is masked from 'package:readr':
##
## guess_encoding
library(httr)
library(lubridate)
##
## Attaching package: 'lubridate'
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
library(flexdashboard)
library(plotly)
##
## Attaching package: 'plotly'
## The following object is masked from 'package:httr':
##
## config
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
Import dataset
raw_sub_crime =
read_csv("./data/subwaycrime.csv") %>%
janitor::clean_names()
## New names:
## * `` -> ...1
## Warning: One or more parsing issues, see `problems()` for details
## Rows: 6244 Columns: 37
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (20): BORO_NM, CMPLNT_FR_DT, CMPLNT_TO_DT, CRM_ATPT_CPTD_CD, JURIS_DESC...
## dbl (11): ...1, CMPLNT_NUM, ADDR_PCT_CD, JURISDICTION_CODE, KY_CD, PD_CD, T...
## lgl (4): HADEVELOPT, HOUSING_PSA, LOC_OF_OCCUR_DESC, PARKS_NM
## time (2): CMPLNT_FR_TM, CMPLNT_TO_TM
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
raw_sub_station =
read_xlsx("./data/subway_info_final.xlsx") %>%
janitor::clean_names()
Tidy data: add time intervals
sub_crime =
raw_sub_crime %>%
select(cmplnt_fr_dt, cmplnt_fr_tm, ofns_desc, station_name, latitude, longitude) %>%
rename("date" = "cmplnt_fr_dt", "time" = "cmplnt_fr_tm", "crime_event" = "ofns_desc") %>%
drop_na(time) %>%
mutate(
time = case_when(
hms("00:00:00") <= time & time < hms("02:00:00") ~hms("00:00:00"),
hms("02:00:00") <= time & time < hms("04:00:00") ~hms("04:00:00"),
hms("04:00:00") <= time & time < hms("06:00:00") ~hms("04:00:00"),
hms("06:00:00") <= time & time < hms("08:00:00") ~hms("08:00:00"),
hms("08:00:00") <= time & time < hms("10:00:00") ~hms("08:00:00"),
hms("10:00:00") <= time & time < hms("12:00:00") ~hms("12:00:00"),
hms("12:00:00") <= time & time < hms("14:00:00") ~hms("12:00:00"),
hms("14:00:00") <= time & time < hms("16:00:00") ~hms("16:00:00"),
hms("16:00:00") <= time & time < hms("18:00:00") ~hms("16:00:00"),
hms("18:00:00") <= time & time < hms("20:00:00") ~hms("20:00:00"),
hms("20:00:00") <= time & time < hms("23:59:59") ~hms("20:00:00"),
)
) %>%
mutate(time = as.character(time))
sub_crime %>%
group_by(time, crime_event) %>%
summarise(event_num = n())
## `summarise()` has grouped output by 'time'. You can override using the `.groups` argument.
## # A tibble: 147 × 3
## # Groups: time [6]
## time crime_event event_num
## <chr> <chr> <int>
## 1 0S ASSAULT 3 & RELATED OFFENSES 55
## 2 0S BURGLAR'S TOOLS 1
## 3 0S BURGLARY 1
## 4 0S CRIMINAL MISCHIEF & RELATED OF 102
## 5 0S CRIMINAL TRESPASS 4
## 6 0S DANGEROUS DRUGS 24
## 7 0S DANGEROUS WEAPONS 9
## 8 0S FELONY ASSAULT 34
## 9 0S FRAUDS 1
## 10 0S GRAND LARCENY 38
## # … with 137 more rows
Dashboard
bar_plot =
sub_crime %>%
mutate(time = as.factor(time)) %>%
ggplot(aes(x = time, fill = crime_event)) +
geom_histogram(stat = "count", width = 0.8) +
labs(
title = "Frequency of crime events v.s. Time points",
x = "Occurrence time",
y = "Frequency of crime events") +
theme_bw() +
theme(
plot.title = element_text(hjust = 1),
legend.position = "bottom",
legend.text = element_text(size = 8)) +
guides(col = guide_legend(nrow = 2))
## Warning: Ignoring unknown parameters: binwidth, bins, pad
ggplotly(bar_plot) %>%
layout(legend = list(
orientation = "h",
xanchor = "center",
yanchor = "top",
x = 0.5,
y = - 0.1
)
)